PSYC3010 Lecture Notes - Lecture 2: Central Tendency, Complement Factor B, Royal Institute Of Technology

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5 Aug 2018
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Lecture 2 factorial between-ps anova i: omnibus tests. Between-groups variance: systematic variance due to membership in different groups/treatments, distribution of group means around the grand mean. Within-groups variance: error variance (due to random chance or unmeasured influences, distribution of individual dv scores around the group mean. Hypotheses in 1-way anova differences between 2 means: h0: 1 = 2, null hypothesis: no differences between treatment means, h1: 1 2, alternative hypothesis: difference between treatment means. Or another way of putting it: h0: j = , h1: j . for at least one group. Logic of univariate anova: test statistic is the f-ratio. F = mstreat / mserror: mstreat = index of variability among treatment means, mserror = index of variability among participants within a cell. = average of s2 from each sample, a good estimate of e. If mstreat is a good estimate of error variance: f = mstreat/mserror = 1.

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